Sensors-Enabled Autonomous Computational Intelligence Vehicle Model With QoS-Driven Communication Services-Reference-Cited by-同舟云学术

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Sensors-Enabled Autonomous Computational Intelligence Vehicle Model With QoS-Driven Communication Services

Published:2024-08-15 Issue:16 Volume:24 Page:26607-26615
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Haseeb Khalid¹^ORCID,Rehman Amjad¹^ORCID,Ara Anees¹,Khan Atif²^ORCID,Saba Tanzila¹^ORCID,Song Houbing Herbert³^ORCID

Affiliation:

1. Artificial Intelligence and Data Analytics (AIDA) Laboratory, CCIS, Prince Sultan University, Riyadh, Saudi Arabia

2. Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan

3. Department of Information Systems, University of Maryland, Baltimore County (UMBC), Baltimore, MD, USA

Funder

Research Project (IoT based Evapotranspiration for Smart and Precision Irrigation), Prince Sultan University, Riyadh, Saudi Arabia

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10637303/10559652.pdf?arnumber=10559652

Reference32 articles.

1. Applications of the Internet of Things (IoT) in Smart Logistics: A Comprehensive Survey

2. A Comprehensive Review on Traffic Control Modeling for Obtaining Sustainable Objectives in a Freeway Traffic Environment

3. VANETs QoS-based routing protocols based on multi-constrained ability to support ITS infotainment services

4. Mitigating DoS attacks against signature-based authentication in VANETs

5. Security threats and measures in the Internet of Things for smart city infrastructure: A state of art

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